We propose a novel identification strategy to measure monetary policy in a structural VAR. It is based exclusively on known past policy shocks, which are uncovered from high-frequency data, and does not rely on any theoretical a-priori restrictions. Our empirical analysis for the euro area...

As stock market indexes are not tradeable, the importance and trading volume of Exchange Traded Funds (ETFs) cannot be understated. ETFs track and attempt to replicate the performance of a specific index. Numerous studies have demonstrated a strong relationship between the S&P500 Composite Index...

We apply the Diebold and Yilmaz (2014) methodology to daily stock prices of the largest 40 U.S. financial institutions to construct a volatility connectedness index. We then estimate the contemporaneous return sensitivity of every non-financial U.S. company to this index. We find that there is a...

In recent times, a large number of studies has investigated the empirical properties of financial cycles within countries, mainly based on band-pass filter techniques. The contribution of this paper to the literature is twofold. First, in contrast to most existing studies in the financial cycle...

This study extends the Diebold-Yilmaz Connectedness Index (DYCI) methodology and, based on forecast error covariance decompositions, derives a network risk model for a portfolio of assets. As a normalized measure of the sum of variance contributions, system-wide connectedness averages out the...

In this paper a mixed-frequency VAR à la Mariano & Murasawa (2004) with Markov regime switching in the parameters is estimated by Bayesian inference. Unlike earlier studies, that used the pseuo-EM algorithm of Dempster, Laird & Rubin (1977) to estimate the model, this paper describes how to...

This paper looks at the relationship between financial development and economic development using time series data for eight Asian countries. First, we estimate augmented production functions where a financial development variable is added. Second, we conduct multivariate causality tests between...

We set up an agent-based model that generates realistic credit cycles. Using artificial data sets, we show that fluctuations in the implicit measures of the natural rate of interest (obtained using a conventional model) may occur in the vicinity of credit cycle peaks without any underlying...

This paper extends the economic growth model tested by Levine and Zervos (1998) by including a measure for capital allocation efficiency proxied by stock price informativeness. Using a sample of 59 countries, this study finds that stock price informativeness as measured by firm-specific return...

The price puzzle is the association in a structural vector autoregression (SVAR) of a contractionary shock to monetary policy with persistent increases in the price level. Various explanations have been investigated separately in the framework of small SVARs without any common set of variables...